Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Vision Transformers: State of the Art and Research Challenges
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2207.03041.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:22:07.693139Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T18:46:09.572879Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 10b0d875-52be-4543-8110-cba8484b8cf2 · inbound
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization cites this paper.
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization Vision Transformers: State of the Art and Research Challenges
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T22:34:21.417143Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a557f129-87e1-4036-9636-ada886090982 · inbound
Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems cites this paper.
Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems Vision Transformers: State of the Art and Research Challenges
Reference 57
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T18:46:09.576988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3a5f94aa-8673-473f-9899-26d1f3202f7a · inbound
NAE: Normalizing AutoEncoder cites this paper.
NAE: Normalizing AutoEncoder Vision Transformers: State of the Art and Research Challenges
Reference 103
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:22:07.693139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.